University of Oulu

Hannila, H., Tolonen, A., Härkönen, J., Haapasalo, H. (2019) Product and supply chain related data, processes and information systems for product portfolio management. International Journal of Product Lifecycle Management, 12 (1), 1-19.

Product and supply chain related data, processes and information systems for product portfolio management

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Author: Hannila, Hannu1; Tolonen, Arto1; Härkönen, Janne1;
Organizations: 1Industrial Engineering and Management, University of Oulu, P.O. Box 4610, FI-90014, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Inderscience, 2019
Publish Date: 2020-12-26


Traditional product data management (PDM) systems have evolved to support the product lifecycle management (PLM). The combination, also referred to as PDM/PLM has developed into a product master data (PMD) repository. The PMD and business process related data are utilised in product portfolio management (PPM). However, companies’ tendency to have productrelated data in silos among multiple business processes and information systems (IS) results in uncertain information for PPM. This study focuses on data, processes and information systems related to PMD and supply chain product data (SCPD), PPM and supply chain (SC) processes and information systems. The study highlights the related challenges in providing fact-based data for PPM analysis and decision-making. The results indicate that the key PMD and SCPD have not been connected back to PPM as automated and integrated data flow from enterprise resource planning (ERP) system to the PDM/PLM system. The key SCPD consists of product-related volume and cost information that should be linked to PPM analysis and decision making. These findings are critical to further develop data, processes and IS to support strategic and financial PPM analysis and decision making on what products a company should have in the portfolio.

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Series: International journal of product lifecycle management
ISSN: 1743-5110
ISSN-E: 1743-5129
ISSN-L: 1743-5110
Volume: 12
Issue: 1
Pages: 1 - 19
DOI: 10.1504/IJPLM.2019.104352
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Copyright information: © 2019 Inderscience Publishers. The final authenticated version is available online at